2024
Understanding Barriers and Facilitators to Disaster Preparedness in Federally Qualified Health Centers in the United States: A Mixed Methods Study
Hassan S, Wiciak M, Escobar K, del Mar González Montalvo M, Richards T, Villanueva H, Ortiz J, Evans D, Nunez-Smith M. Understanding Barriers and Facilitators to Disaster Preparedness in Federally Qualified Health Centers in the United States: A Mixed Methods Study. Disaster Medicine And Public Health Preparedness 2024, 18: e138. PMID: 39291834, DOI: 10.1017/dmp.2024.102.Peer-Reviewed Original ResearchConceptsFederally Qualified Health CentersNon-communicable diseasesMultiple non-communicable diseasesMixed-methods study designDisaster preparednessQualified Health CentersQualitative dataMixed methods studyMental health disordersQualitative in-depth interviewsKnowledge of disaster preparednessExperiences of staffHealth disparitiesIn-depth interviewsUnderstanding barriersHealth centersMethods studyHealth disordersStudy designPuerto RicoQuantitative surveyCareNarrative approachPreparednessPerceived gap
2018
Quality Of Breast Cancer Care In The US Territories: Insights From Medicare
Layne TM, Aminawung JA, Soulos PR, Nunez-Smith M, Nunez MA, Jones BA, Wang KH, Gross CP. Quality Of Breast Cancer Care In The US Territories: Insights From Medicare. Health Affairs 2018, 37: 421-428. PMID: 29505365, PMCID: PMC7081152, DOI: 10.1377/hlthaff.2017.1045.Peer-Reviewed Original Research
2017
Quality of Care in the United States Territories, 1999–2012
Nuti SV, Wang Y, Masoudi FA, Nunez-Smith M, Normand ST, Murugiah K, Rodríguez-Vilá O, Ross JS, Krumholz HM. Quality of Care in the United States Territories, 1999–2012. Medical Care 2017, 55: 886-892. PMID: 28906314, PMCID: PMC6482857, DOI: 10.1097/mlr.0000000000000797.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHeart failureHospitalization ratesMedicare beneficiariesMortality rateService Medicare beneficiariesQuality of careRecent study periodPneumonia hospitalizationsMyocardial infarctionPatient outcomesMillions of AmericansMedicare feeHealth outcomesPneumoniaService beneficiariesHospital reimbursementUnique beneficiariesHealth equityStudy periodPatient paymentsInpatient paymentsHealth careMortalityCare
2016
Estimating healthcare mobility in the Veterans Affairs Healthcare System
Wang KH, Goulet JL, Carroll CM, Skanderson M, Fodeh S, Erdos J, Womack JA, Abel EA, Bathulapalli H, Justice AC, Nunez-Smith M, Brandt CA. Estimating healthcare mobility in the Veterans Affairs Healthcare System. BMC Health Services Research 2016, 16: 609. PMID: 27769221, PMCID: PMC5075153, DOI: 10.1186/s12913-016-1841-4.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overDelivery of Health CareElectronic Health RecordsEmigration and ImmigrationFemaleHospitals, VeteransHumansMaleMental DisordersMiddle AgedPatient Acceptance of Health CareRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsVeteransVeterans HealthYoung AdultConceptsHealthcare systemVeterans Health Administration electronic health recordsVeterans Affairs Healthcare SystemHealthcare mobilityRetrospective cohort studyHepatitis C virusOutcomes of careDifferent healthcare systemsDistinct healthcare systemsElectronic health recordsClinical characteristicsCohort studyHealthcare utilizationC virusSpecialty carePsychiatric disordersYounger veteransDisease preventionYounger agePopulation healthHealth recordsVeteransStatus changesCareYear period
2011
Career Satisfaction in Primary Care: A Comparison of International and US Medical Graduates
Chen PG, Curry LA, Nunez-Smith M, Bradley EH, Desai MM. Career Satisfaction in Primary Care: A Comparison of International and US Medical Graduates. Journal Of General Internal Medicine 2011, 27: 147-152. PMID: 21866306, PMCID: PMC3270248, DOI: 10.1007/s11606-011-1832-4.Peer-Reviewed Original ResearchConceptsPrimary care physiciansCare physiciansPrimary carePhysician characteristicsMultivariable logistic regression modelingDirect patient care activitiesPrimary care physician workforceUS medical graduatesHealth Tracking Physician SurveyPatient care activitiesLogistic regression modelingHigh-quality patient careOverall satisfactionPhysician surveyPoor satisfactionPatient careMedical graduatesStudy participantsCare activitiesIMG statusPotential explanatory factorsPhysiciansRegression modelingCareSolo practitioners
2010
Quality improvement in community health centres: the role of microsystem characteristics in the implementation of a diabetes prevention initiative
Santana C, Nunez-Smith M, Camp A, Ruppe E, Berg D, Curry L. Quality improvement in community health centres: the role of microsystem characteristics in the implementation of a diabetes prevention initiative. BMJ Quality & Safety 2010, 19: 290. PMID: 20558473, DOI: 10.1136/qshc.2009.033530.Peer-Reviewed Original ResearchMeSH KeywordsAttitude of Health PersonnelCommunity Health CentersCooperative BehaviorDiabetes MellitusEvidence-Based PracticeHealth Plan ImplementationHumansOrganizational ObjectivesOutcome Assessment, Health CarePatient Care TeamPatient SafetyPlanning TechniquesQualitative ResearchQuality ImprovementUnited States
2008
Racial and ethnic differences in personal cervical cancer screening amongst post-graduate physicians: Results from a cross-sectional survey
Ross JS, Nuñez-Smith M, Forsyth BA, Rosenbaum JR. Racial and ethnic differences in personal cervical cancer screening amongst post-graduate physicians: Results from a cross-sectional survey. BMC Public Health 2008, 8: 378. PMID: 18973674, PMCID: PMC2590615, DOI: 10.1186/1471-2458-8-378.Peer-Reviewed Original ResearchConceptsCervical cancer screeningCervical cancerCross-sectional surveyCancer screeningCervical cancer screening recommendationsEthnic differencesCancer screening recommendationsPerceptions of adherenceNon-significant tendencyScreening recommendationsUniversity HospitalEthnic disparitiesPhysiciansWomenCancerLess adherentAdherenceConvenience sampleHealth careCareScreeningBackgroundRacialAsiansRecommendationsResultsOverall